Learn about file systems in one article
The file system plays a key role in the operating system. It is responsible for organizing and managing data on storage media, and at the same time realizing data access and storage functions. Users interact with the system, manage and access data through the file system, which makes data storage and retrieval more efficient and convenient.
Various operating systems are equipped with their own unique file systems, such as NTFS for Windows, ext4 for Linux and APFS for MacOS. In addition, there are also some common file systems, such as FAT32 and exFAT, to facilitate data exchange between different systems. The file system is responsible for dividing and merging physical storage devices to provide a unified logical device for the operating system. It can divide a physical disk into multiple logical partitions, or merge multiple logical partitions into one volume. When volumes are merged across multiple physical disks, the file system implements a logical expansion of the capacity of a single physical device.
Partition and volume diagram
The core function of the file system is to manage and organize files. Each file has a unique path and name, which constitute the file's identity and location in the system. The top level of the file system is a logical partition or logical volume, and files are stored in different directories hierarchically, forming a tree structure.
Tree file structure diagram
In the file system, file access permissions and execution permissions are the main differences between files, and the difference in file content depends on the definition of the file itself. Various file types access their data according to the file protocol, usually declaring the file type in the file header. The format of the file name helps the system and users identify the file type, but it does not change the type and content of the file. In early Windows systems, the 8.3 file name naming standard was adopted, in which the three characters after "." help the system distinguish file types. For example, "exe" represents an executable file.
In addition to the hardware capacity limit in the file system, there is also an upper limit on the number of files. When there are a large number of small files in the system, the number of file indexes in the file system will be exhausted, and new files cannot be created even if there is storage space on the physical disk. When this happens, we need to rely on some application-level file management programs to uniformly manage these small files. In these application-level file management programs, some "large" files of fixed sizes are created, such as 64MB, 128MB, etc. File management programs will store small files in designated locations within these large files. A "large" file in the file system will contain multiple small files. This effectively reduces the number of files in the file system. Although file management programs accessing files may result in reduced access performance and reduced space usage, all files stored in the file system are large. Storing large files can effectively avoid file system fragmentation and performance degradation caused by too many files. It is an effective balancing method.
The file system is the basis of data, including documents, multimedia and database files. Understanding its characteristics is critical to application data storage design and development.
The above is the detailed content of Learn about file systems in one article. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Zookeeper performance tuning on CentOS can start from multiple aspects, including hardware configuration, operating system optimization, configuration parameter adjustment, monitoring and maintenance, etc. Here are some specific tuning methods: SSD is recommended for hardware configuration: Since Zookeeper's data is written to disk, it is highly recommended to use SSD to improve I/O performance. Enough memory: Allocate enough memory resources to Zookeeper to avoid frequent disk read and write. Multi-core CPU: Use multi-core CPU to ensure that Zookeeper can process it in parallel.

Linux is suitable for servers, development environments, and embedded systems. 1. As a server operating system, Linux is stable and efficient, and is often used to deploy high-concurrency applications. 2. As a development environment, Linux provides efficient command line tools and package management systems to improve development efficiency. 3. In embedded systems, Linux is lightweight and customizable, suitable for environments with limited resources.

This article discusses how to improve Hadoop data processing efficiency on Debian systems. Optimization strategies cover hardware upgrades, operating system parameter adjustments, Hadoop configuration modifications, and the use of efficient algorithms and tools. 1. Hardware resource strengthening ensures that all nodes have consistent hardware configurations, especially paying attention to CPU, memory and network equipment performance. Choosing high-performance hardware components is essential to improve overall processing speed. 2. Operating system tunes file descriptors and network connections: Modify the /etc/security/limits.conf file to increase the upper limit of file descriptors and network connections allowed to be opened at the same time by the system. JVM parameter adjustment: Adjust in hadoop-env.sh file

Installing MySQL on CentOS involves the following steps: Adding the appropriate MySQL yum source. Execute the yum install mysql-server command to install the MySQL server. Use the mysql_secure_installation command to make security settings, such as setting the root user password. Customize the MySQL configuration file as needed. Tune MySQL parameters and optimize databases for performance.

In VS Code, you can run the program in the terminal through the following steps: Prepare the code and open the integrated terminal to ensure that the code directory is consistent with the terminal working directory. Select the run command according to the programming language (such as Python's python your_file_name.py) to check whether it runs successfully and resolve errors. Use the debugger to improve debugging efficiency.

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.

The key to improving the efficiency of data transmission in DebianHadoop cluster lies in the comprehensive application of multiple strategies. This article will elaborate on optimization methods to help you significantly improve cluster performance. 1. The data localization strategy maximizes the allocation of computing tasks to the data storage nodes, effectively reducing data transmission between nodes. Hadoop's data localization mechanism will automatically move data blocks to the node where the computing task is located, thereby avoiding performance bottlenecks caused by network transmission. 2. Data compression technology adopts data compression technology during data transmission to reduce the amount of data transmitted on the network and thereby improve transmission efficiency. Hadoop supports a variety of compression algorithms, such as Snappy, Gzip, LZO, etc. You can choose the optimal algorithm according to the actual situation. three,

Apache is written in C. The language provides speed, stability, portability, and direct hardware access, making it ideal for web server development.
